Gender Differences in Temperature and Vascular Characteristics During Exercise Recovery
Bibliographic record
Abstract
Temperature and vascular responses during exercise recovery were examined in men and women of similar age and fitness status (VO2max: 76 +/- 5 vs 73 +/- 5 mL O2 / kg Fat Free Mass x min). Forearm blood flow (venous occlusion plethysmography; FBF), rectal (Trectal) and forearm skin (Tskin) temperatures (degree C) were measured before and every 15 min up to 105 min (t105) during recovery from a 45-min run at 75% of VO2max. Results indicate Trectal decreased to pre-exercise levels within 25 min in men but reached and remained at values lower than baseline between 60 and 105 min of recovery in women. From 90 to 105 min of recovery, Tskin was lower in women than men (t105 : 29.0 +/- 1.3 vs 30.7 +/- 1.5; p <.05). Recovery FBF (mL/100mL x min) was higher in men than women from the start (6.2 +/- 1.9 vs 4.9 +/- 1.9) to the end of recovery (t105 = 1.7 +/- 0.6 vs 2.6 +/- 1.1) (p <.05). Heat flux calculated at the forearm was higher in women and increased throughout the last hour of recovery (p <.05). Further investigations are needed to examine mechanisms underlying failure of post-exercise core and skin temperatures in women to stabilize at pre-exercise levels.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".